prp-base-create

Create BASE PRP

Feature: $ARGUMENTS

PRP Creation Mission

Create a comprehensive PRP that enables one-pass implementation success through systematic research and context curation.

Critical Understanding: The executing AI agent only receives:

• Start by reading and understanding the prp concepts PRPs/README.md
• The PRP content you create
• Its training data knowledge
• Access to codebase files (but needs guidance on which ones)

Therefore: Your research and context curation directly determines implementation success. Incomplete context = implementation failure.

Research Process

During the research process, create clear tasks and spawn as many agents and subagents as needed using the batch tools. The deeper research we do here the better the PRP will be. we optminize for chance of success and not for speed.

1. Codebase Analysis in depth

   • Create clear todos and spawn subagents to search the codebase for similar features/patterns Think hard and plan your approach
   • Identify all the necessary files to reference in the PRP
   • Note all existing conventions to follow
   • Check existing test patterns for validation approach
   • Use the batch tools to spawn subagents to search the codebase for similar features/patterns

2. External Research at scale

   • Create clear todos and spawn with instructions subagents to do deep research for similar features/patterns online and include urls to documentation and examples
   • Library documentation (include specific URLs)
   • For critical pieces of documentation add a .md file to PRPs/ai_docs and reference it in the PRP with clear reasoning and instructions
   • Implementation examples (GitHub/StackOverflow/blogs)
   • Best practices and common pitfalls found during research
   • Use the batch tools to spawn subagents to search for similar features/patterns online and include urls to documentation and examples

3. User Clarification

   • Ask for clarification if you need it

PRP Generation Process